There are many people who can 'use' AI. But there are almost no people who can explain how it works.Asking ChatGPT questions. Generating images with AI. Leaving translation to AI as well.I think there ...

A machine learning and GIS project that uses high-resolution NAIP aerial imagery to classify land use around California light rail stations. The project combines image segmentation, remote sensing ...

Researchers in Türkiye combined transfer learning with MobileNetV2, Xception, and classical classifiers to classify five rice ...

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...

Researchers in Pakistan trained deep learning models to distinguish four histopathologically similar inflammatory skin ...

This model was created as part of my machine learning learning journey, following and implementing a practical image-classification tutorial. The project helped me practice image preprocessing, CNN ...

Explainable Artificial Intelligence (XAI) encompasses a broad spectrum of methods that aim to enhance the transparency of deep learning models, with Class Activation Mapping (CAM) methods widely used ...

Researchers used machine learning-assisted laser-induced breakdown spectroscopy (LIBS) to classify PP, PET, HDPE, and LDPE ...

The model dog for this project'I want to build a system that automatically identifies my own dog using AI.'This personal ...

As artificial intelligence technologies become increasingly widespread, the growing demand for processing power and energy is ...

Quandela research explores how photonic quantum computing utilizes quantum fingerprints to improve machine learning data ...

Researchers have developed a non-invasive machine learning approach that classifies painting pigments using images acquired ...